At a Glance
- Tasks: Lead hands-on data development using IBM DataStage and optimize workflows across various environments.
- Company: Join a forward-thinking company that values innovation and teamwork.
- Benefits: Enjoy competitive pay, health benefits, and opportunities for remote work.
- Other info: Dynamic role with great potential for career advancement and skill development.
- Why this job: Make a real impact by enhancing data processes and leading a talented team.
- Qualifications: Strong experience with IBM DataStage, SQL Server, and PL/SQL scripting required.
The predicted salary is between 108000 - 132000 $ per year.
The Data Dev Lead will be responsible for leading data development activities, with a strong focus on hands‑on work using IBM Data Stage.
This role involves designing, developing, and optimizing data workflows, working across SQL Server, PL/SQL, and mainframe environments.
The ideal candidate will ensure seamless data processing, job scheduling, and integration across multiple systems.
Key Responsibilities
- Lead and perform hands‑on development using IBM Data Stage for ETL workflows.
- Develop, enhance, and maintain data integration processes across multiple environments.
- Work with SQL Server databases to write, optimize, and troubleshoot SQL queries.
- Develop PL/SQL scripts and stored procedures for data transformation and processing.
- Utilize Mainframe JCL for job management and batch processing activities.
- Coordinate job scheduling and workflow management using scheduling tools.
- Collaborate with cross‑functional teams to ensure data accuracy, performance, and reliability.
- Troubleshoot issues across ETL, database, and mainframe processes.
- Provide guidance and leadership to junior data developers as needed.
- Required Qualifications
- Strong hands‑on experience with IBM Data Stage.
- Proficiency in SQL Server and advanced SQL query development.
- Experience with PL/SQL scripting and stored procedures.
- Knowledge of Mainframe JCL and batch job scheduling.
- Experience working with schedulers and operational job orchestration.
- Strong analytical, problem‑solving, and debugging skills.
- Excellent communication and collaboration skills.
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